Langfuse vs Langtrace
A side-by-side comparison of Langfuse and Langtrace, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Langfuse
ObservabilityOpen-source LLM observability. Self-hostable, OpenTelemetry-native.
View LangfuseAt a glance
| Attribute | Langfuse | Langtrace |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Open core | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, Web | Web, API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Langfuse | Scale3 Labs |
The honest brief
Langfuse
The MIT-licensed, self-hostable answer to LangSmith — own your observability data, framework-agnostic.
- Own your observability data
- Framework-agnostic, OTel-native
- Tracing + evals + prompt mgmt
- Transparent unit-based pricing
- Self-host infra cost at scale
- Less deep LangChain integration
- Setup heavier than hosted-only
Langtrace
Pure OpenTelemetry spans, so LLM traces export to any OTel backend (Grafana, Datadog) instead of a locked-in dashboard.
- Two-line SDK instrumentation
- Self-hostable / on-prem option
- Tracks token usage, latency, and cost
- Authored by OTel GenAI contributors
- Smaller team and ecosystem
- Fewer features than LangSmith
- Dashboard less polished